class_docstr: CelebA-HQ dataset, downsampled as 128x128.
code: def hparams(self, defaults, unused_model_hparams):
      p = defaults
      p.batch_size_multiplier = 1
      p.modality = {"inputs": modalities.ModalityType.IDENTITY}
      p.vocab_size = {"inputs": 256}
      p.input_space_id = 1
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from tensor2tensor.data_generators import image_utils
  from tensor2tensor.data_generators import problem
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import metrics
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling the ImageCelebahq128 obj's underlying member method code with example usage: obj.hparams(defaults, unused_model_hparams) without return types